[HTML][HTML] Deep learning in optical metrology: a review
With the advances in scientific foundations and technological implementations, optical
metrology has become versatile problem-solving backbones in manufacturing, fundamental …
metrology has become versatile problem-solving backbones in manufacturing, fundamental …
[HTML][HTML] Nano biosensors: properties, applications and electrochemical techniques
X Huang, Y Zhu, E Kianfar - Journal of Materials Research and Technology, 2021 - Elsevier
A sensor is a tool used to directly measure the test compound (analyte) in a sample. Ideally,
such a device is capable of continuous and reversible response and should not damage the …
such a device is capable of continuous and reversible response and should not damage the …
The colony predation algorithm
This paper proposes a new stochastic optimizer called the Colony Predation Algorithm
(CPA) based on the corporate predation of animals in nature. CPA utilizes a mathematical …
(CPA) based on the corporate predation of animals in nature. CPA utilizes a mathematical …
Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection
This research's genesis is in two aspects: first, a guaranteed solution for mitigating the grey
wolf optimizer's (GWO) defect and deficiencies. Second, we provide new open-minding …
wolf optimizer's (GWO) defect and deficiencies. Second, we provide new open-minding …
[HTML][HTML] Calibration of fringe projection profilometry: A comparative review
Fringe projection profilometry is widely used for three-dimensional (3D) measurements.
System calibration is crucial to fringe projection systems, since it determines how the phase …
System calibration is crucial to fringe projection systems, since it determines how the phase …
[PDF][PDF] Deep-learning-enabled dual-frequency composite fringe projection profilometry for single-shot absolute 3D shape measurement
Single-shot high-speed 3D imaging is important for reconstructions of dynamic objects. For
fringe projection profilometry (FPP), however, it is still challenging to recover accurate 3D …
fringe projection profilometry (FPP), however, it is still challenging to recover accurate 3D …
Flood susceptibility assessment using novel ensemble of hyperpipes and support vector regression algorithms
Recurrent floods are one of the major global threats among people, particularly in
developing countries like India, as this nation has a tropical monsoon type of climate …
developing countries like India, as this nation has a tropical monsoon type of climate …
Deep learning spatial phase unwrapping: a comparative review
Phase unwrapping is an indispensable step for many optical imaging and metrology
techniques. The rapid development of deep learning has brought ideas to phase …
techniques. The rapid development of deep learning has brought ideas to phase …
Generalized framework for non-sinusoidal fringe analysis using deep learning
Phase retrieval from fringe images is essential to many optical metrology applications. In the
field of fringe projection profilometry, the phase is often obtained with systematic errors if the …
field of fringe projection profilometry, the phase is often obtained with systematic errors if the …
State-of-the-art active optical techniques for three-dimensional surface metrology: a review
AG Marrugo, F Gao, S Zhang - JOSA A, 2020 - opg.optica.org
This paper reviews recent developments of non-contact three-dimensional (3D) surface
metrology using an active structured optical probe. We focus primarily on those active non …
metrology using an active structured optical probe. We focus primarily on those active non …